Ontology of human relation extraction based on dependency syntax rules
Authors: 
Long He, Likun QiuAuthors Info & Claims
Long He, Likun QiuAuthors Info & ClaimsPages 1151 - 1157
Abstract
This paper proposed a novel scheme for extracting character relation from unstructured text based on dependency grammar rules. First of all, we took the Three Kingdoms characters as our research object, then selected articles containing target relationships and thus constructed a corpus consisting of 1000 sentences. Secondly, We analyzed the corpus and developed a set of dependent grammar rules for relation extraction. Finally, we proposed a system, which makes it possible for computers to automatically extract and identify character relationships.
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- Ontology of human relation extraction based on dependency syntax rules
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Information & Contributors
Information
Published In
August 2017
1284 pages
ISBN:9781450349512
DOI:10.1145/3106426
- Conference Chair:
- Amit Sheth,
- General Chairs:
- Axel Ngonga,
- yin Wang,
- Elizabeth Chang,
- Dominik Ślęzak,
- Bogdan Franczyk,
- Program Chairs:
- Rainer Alt,
- Xiaohui Tao
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- SIGAI: ACM Special Interest Group on Artificial Intelligence
- TCII: IEEE Computer Society Technical Committee on Intelligent Informatics
- Web Intelligence Consortium
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 23 August 2017
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- Research-article
Funding Sources
- National Natural Science Foundation of China
Conference
WI '17
Sponsor:
- SIGAI
- TCII
Acceptance Rates
WI '17 Paper Acceptance Rate 118 of 178 submissions, 66%;
Overall Acceptance Rate 118 of 178 submissions, 66%
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